By Fernando Silva Parreiras
The following firm computing period will depend on the synergy among either applied sciences: semantic internet and model-driven software program improvement (MDSD). The semantic net organizes process wisdom in conceptual domain names in response to its that means. It addresses numerous company computing wishes by way of picking, abstracting and rationalizing commonalities, and checking for inconsistencies throughout approach requisites. at the different part, model-driven software program improvement is final the distance between company requisites, designs and executables through the use of domain-specific languages with custom-built syntax and semantics. It makes a speciality of utilizing modeling languages as programming languages.
Among many components of software, we spotlight the realm of configuration administration. ponder the instance of a telecommunication corporation, the place dealing with the a number of configurations of community units (routers, hubs, modems, etc.) is essential. firm structures establish and record the useful and actual features of community units, and regulate adjustments to these features. using the mixing of semantic net and model-driven software program improvement permits for
(1) explicitly specifying configurations of community units with tailored languages,
(2) for checking the consistency of those specifications
(3) for outlining a vocabulary to proportion machine necessities throughout firm structures. by means of coping with configurations with constant and specific thoughts, we lessen price and chance, and improve agility according to new standards within the telecommunication area.
This e-book examines the synergy among semantic net and model-driven software program improvement. It brings jointly advances from disciplines like ontologies, description logics, domain-specific modeling, version transformation and ontology engineering to take company computing to the subsequent level.
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Additional info for Integration of the Semantic Web and Model-Driven Software
2), HANS lives in CANADA, and CANADA isn't the same as united states. besides the fact that, last the area doesn't mean CWA simply because NAF isn't really in position. for instance, if we get rid of the thing estate statement kingdom (HANS, CANADA) and ask an analogous question, utilizing CWA, the result's nonetheless HANS as the lack of expertise approximately HANS. by utilizing OWA, there are not any effects, because the lack of know-how approximately HANS isn't adequate to deduce that he's now not American. learn within the ﬁeld of mixing description logics and common sense programming  offers suggestions to aid OWL reasoning with CWA. assorted recommendations were explored like adopting an epistemic operator [35, 87] or extending OWL with the speciﬁcation of exterior predicates that implements the belief of negation as failure . The CWA and OWA are usually not contradictory. fresh effects  express that it truly is attainable to manage the measure of incompleteness in an ontology acquiring a extra flexible formalism. Such “under-speciﬁcation” can be utilized to permit reuse and 3. four ONTOLOGY providers 31 extension and doesn't suggest insufﬁciency. back utilizing our instance, think we deﬁne an incomplete checklist of nations a part of the North American unfastened alternate contract (NAFTA) comprising merely Canada and united states, simply because those are the international locations the shop ships to, and we don't want to know the others. If the shop begins transport to Mexico at some point soon in time, a question approximately no matter if Mexico is a member of NAFTA returns undeﬁned, that is moderate, delivering that our record of NAFTA international locations is incomplete and doesn't contain Mexico. three. four ONTOLOGY providers Ontology-Based details platforms  offer clients with a suite of functionalities to regulate ontologies—ontology providers. Tran et al.  defined a suite of ontology providers for helping ontology engineering. during this ebook, we be aware of the next companies: reasoning and querying. three. four. 1 Reasoning providers Reasoning companies are providers supplied by way of reasoning structures with recognize to the ontology. usual reasoning companies are providers to be had in all reasoning platforms, while non-standard reasoning prone are extensions of easy reasoning prone. the traditional reasoning companies for TBox are satisﬁability and subsumption. a category C is unsatisﬁable (C Ն ⊥) with admire to an ontology O if C is empty (does now not have any situations) in all versions of O. Satisﬁability checking turns out to be useful for verifying even if an ontology is significant, i. e. , no matter if all periods are instantiable. Subsumption turns out to be useful to hierarchically manage sessions based on their generality. a category C is subsumed by means of one other type D with appreciate to an ontology O if the set denoted by way of C is a subset of the subset denoted through D for each version of O. the normal reasoning providers for ABox are example checking, consistency, recognition, and retrieval. example checking proves even if a given person i belongs to the set defined by means of the category C. An ontology is constant if each person i is an example of merely satisﬁable sessions.